Machine Learning Engineering Lead (m/f/d) - Hamburg

Nur für registrierte Mitglieder
Hamburg
EUR 60.000 - 100.000
Jobbeschreibung

Machine Learning Engineering Lead (m/f/d) - Hamburg

Hamburg

Location: We are flexible! Come and join us either in Hamburg, Berlin, Athens or Barcelona.

The Marketplace department is the core of our platform and consists of Product Management, Data and Engineering. Together as a team we are going to build our Pricing product, which leads to higher customer engagement, better supply utilisation, and ultimately to a balanced demand and supply situation.

As the Machine Learning Engineering Lead in the Marketplace, you will work closely with the Product and Engineering Managers to improve the existing products such as surge or demand prediction, and evaluate future opportunities to improve our Marketplace performance. You’re responsible for a team of 4 to 6 Machine Learning Engineers, being hands-on in mentoring them to help and grow, and responsible for the data strategy of Marketplace along with the Data Science Lead, ensuring high quality of our data products.

If you want to help unveil new potential and move FREENOW in a much stronger position, here is your chance. In more detail this means…

YOUR DAILY ADVENTURES WILL INCLUDE:

  • Being hands-on and mentoring the MLEs to grow and improve the architecture, reliability and monitoring of our systems while being their line manager, as well as being the hiring manager for the role.
  • In close collaboration with the data science lead and engineering managers, set the right priorities for their teams, conceptualise and implement various components of the ML engineering infrastructure and processes to maximise the impact and value of data usage for all stakeholders in our increasingly complex market environment.
  • Facilitating effective collaboration between product managers, data scientists, machine learning engineers, data engineers and cross-functional engineering teams.
  • By using strategic thinking, business understanding and being informed on the latest developments in MLE, help the team to identify, understand, structure and solve complex problems and improve and productionize real-time data products.
  • Being the advocate for MLEs in the business and improving the speed and quality of delivery.

Our Datastack: Python | MLFlow | Databricks | Presto/Trino | Tableau | Airflow | Metabase & more

TO BE SUCCESSFUL IN THIS ROLE:

You are a problem solver, detail-oriented and self-motivated individual who thrives in an innovative, highly motivated environment, combining technical, product, business and leadership perspectives. Further key aspects of your profile are:

  • You like being a hands-on leader and being deep in the code but also know when to effectively delegate and help your direct reports grow in their careers.
  • Excellent communication skills and capable of interacting and coordinating with internal and external stakeholders in steering end-to-end processes and projects.
  • Experience leading and developing top performing data teams and collaboration with cross-functional engineering teams.
  • Facilitating ways of working between Machine Learning engineers, Data Engineers and Data Scientists.
  • A history of leading and supporting successful data projects and the ability to define project objectives, resources, timelines and methodologies clearly to all stakeholders.
  • Strong analytical and problem solving skills.
  • Ability to thrive in a fast paced and collaborative environment.
  • Act as a role model in pragmatism to find solutions for your team.

BENEFITS & PERKS IN A NUTSHELL:

Flexible working arrangements

Sabbatical & special leave policies

WeRoad partnership

Birthday, 24th + 31st December off

Mobility Credit

Health Insurance

Employee assistance program

DIVERSITY, EQUITY & INCLUSION:

FREE NOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.

We want you to grow and evolve, bring your true self to work.

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